Software Reliability Assessment for Branching Structures: A Hierarchical Approach

Kuball Silke; Nikulin Mikhail; May John; Limnios Nikolaos; Gordon Hughes

Software Reliability Assessment for Branching Structures: A Hierarchical Approach

Kuball Silke, Nikulin Mikhail, May John, Limnios Nikolaos, Gordon Hughes

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Abstract

An increased use of software systems in safety-critical applications has made the estimation of the software probability of failure on demand (pfd) an issue of great importance. In this paper, estimation of the system pfd is based on the decomposition of the system into a set of sub-systems with independent failure behaviour. Structures which fork and then join again can pose a problem when it comes to defining independently failing sub-systems. A Bayesian approach performed on two levels of granularity is suggested to perform system pfd estimation on such structures.

Translated title of the contribution	Software Reliability Assessment for Branching Structures: A Hierarchical Approach
Original language	English
Title of host publication	Proceedings on the Second International Conference on Mathematical Methods in Reliability, MMR 2000
Publisher	University Victor Segalen
Pages	655 - 658
Number of pages	3
Publication status	Published - 2000

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Other page information: 655-658
Conference Proceedings/Title of Journal: Proceedings on the Second International Conference on Mathematical Methods in Reliability, MMR 2000
Other identifier: 1000488

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@inproceedings{18887a9fead6489e9eeb933707f89747,

title = "Software Reliability Assessment for Branching Structures: A Hierarchical Approach",

abstract = "An increased use of software systems in safety-critical applications has made the estimation of the software probability of failure on demand (pfd) an issue of great importance. In this paper, estimation of the system pfd is based on the decomposition of the system into a set of sub-systems with independent failure behaviour. Structures which fork and then join again can pose a problem when it comes to defining independently failing sub-systems. A Bayesian approach performed on two levels of granularity is suggested to perform system pfd estimation on such structures.",

author = "Kuball Silke and Nikulin Mikhail and May John and Limnios Nikolaos and Gordon Hughes",

note = "Other page information: 655-658 Conference Proceedings/Title of Journal: Proceedings on the Second International Conference on Mathematical Methods in Reliability, MMR 2000 Other identifier: 1000488",

year = "2000",

language = "English",

pages = "655 -- 658",

booktitle = "Proceedings on the Second International Conference on Mathematical Methods in Reliability, MMR 2000",

publisher = "University Victor Segalen",

}

Software Reliability Assessment for Branching Structures: A Hierarchical Approach. / Silke, Kuball; Mikhail, Nikulin; John, May et al.

Proceedings on the Second International Conference on Mathematical Methods in Reliability, MMR 2000. University Victor Segalen, 2000. p. 655 - 658.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Software Reliability Assessment for Branching Structures: A Hierarchical Approach

AU - Silke, Kuball

AU - Mikhail, Nikulin

AU - John, May

AU - Nikolaos, Limnios

AU - Hughes, Gordon

N1 - Other page information: 655-658 Conference Proceedings/Title of Journal: Proceedings on the Second International Conference on Mathematical Methods in Reliability, MMR 2000 Other identifier: 1000488

PY - 2000

Y1 - 2000

N2 - An increased use of software systems in safety-critical applications has made the estimation of the software probability of failure on demand (pfd) an issue of great importance. In this paper, estimation of the system pfd is based on the decomposition of the system into a set of sub-systems with independent failure behaviour. Structures which fork and then join again can pose a problem when it comes to defining independently failing sub-systems. A Bayesian approach performed on two levels of granularity is suggested to perform system pfd estimation on such structures.

AB - An increased use of software systems in safety-critical applications has made the estimation of the software probability of failure on demand (pfd) an issue of great importance. In this paper, estimation of the system pfd is based on the decomposition of the system into a set of sub-systems with independent failure behaviour. Structures which fork and then join again can pose a problem when it comes to defining independently failing sub-systems. A Bayesian approach performed on two levels of granularity is suggested to perform system pfd estimation on such structures.

M3 - Conference Contribution (Conference Proceeding)

SP - 655

EP - 658

BT - Proceedings on the Second International Conference on Mathematical Methods in Reliability, MMR 2000

PB - University Victor Segalen

ER -

Software Reliability Assessment for Branching Structures: A Hierarchical Approach

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